Відео

what a waste of electricity, there are a million youtube videos explaining it

I wonder if it hallucinates sometimes?

Hi Bro, what if I apply FELLTEXT INDEX(View) prior to the query apply

Good video, i have challenge to prepare master data can please give some input on this.

Great Video

Would've been more persuasive with a Elastiq cap on.

Excellent presentation highlights informative, in simple words, giving all complexity scenario, easy to understand the multiple data review, process, analysis, defining the way it is demanded to present, surly the contribution of Elastiq in the technology enhancement is unparallel and enormous. Congratulations, looking for more eye openers.

Impressive Work! 😍

Great, Thanks a lot, sir.

Hi sir . I have one query regarding big query

it's always an Indian guy!

Clear explanation 😊

Very well explained 👏

So I don't have to carry about performance when I make projects ?!

thank you very much very well explained

Very informative. Thanks.

Very nice 👌🏻👌🏻👌🏻👌🏻👏🏻👏🏻👏🏻

any mechanism to move files from GCP (GCS Storage) to another Cloud Provider like Azure ?

Hello sir. I tried to import 400k data into big query sandbox. But ended with more errors. Is this possible to import those data. Pls anyone help me it's urgent ( interview assignment)

Nice video but while voicing better to expand the screen than side by side videos

Amazing 👏

and how can i do that to predict how much sales really have using sales and refunds?

we can download this database to do some testes ? I nice ideal for next video is compare this same situation with noSQL database.

Amazing explanation for beginners, thanks a lot for this informative video!

Good discussion. Informative. you guys deserve more views.

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Nice video. I see this asked a lot, too.

Great talk.

Hello, can I connect it on php?

This is nice but not that impressive. Obviously, the table is being stored using Columnstore Compression techniques. So you only need to query the columns in the select list. And they are typically grouped in blocks of 1 M or more. These header pages keep rowcount values. So you are not reading every row. Just the block headers of a single column. If your query forced the scan of all rows in the "block" asking it to be combined with other fields in the same row or in other tables before you could filter it. You will no longer be in the columnstore sweet spot. and the difference in query speed would be more striking. Still good thou, as that is a common use case.

Very well explained

Data privacy is an important concern when it comes to interacting with AI systems. Nicely explained 🎉

awesome content..thanks for such videos

what to do when I want to overwrite 100 millions of rows into new table, in minutes? df.write.mode("overwrite").saveAsTable("FINAL"), if you could please help with this?

Watch the full podcast here: ua-cam.com/video/UfBRIEcRAmg/v-deo.html

Great👍

The first question you should always ask when working with a 100 billion row database: “Why do I have a 100 billion row database?”

excellent sir thank you so much highly motivational for passionate person

Guys, this is clear and concise as possible, while still providing enough information to be helpful.

Excellent

Very cool

This is really very informative!!

Great video. Thank you so much for such a clear and clean explanation. One question I had was that I am planning to use a notebook environment for my senior design project during college. Our group is planning to use this for implementing GAN and YOLO models to detect defects in 3D printing. Since we are planning to use at least 1000 images for the training dataset for each type of defect, we wanted to know which notebook is good. Do you think Google Colab will be a good fit for such a project?

Great content keep it up. But sort the echo please.

fantastic!

Very, very nice!!!

Amazing

Very innovative. Thanks for explaining it in a very precise manner. 👌🏻👌🏻👍🏻👍🏻

marketer of google cloud.. nothing states what to improve

Very well Explained. Thanks!